࿂ᅭᐋନᏊᑔᒧ၂ᡍύ 14 ᅿନᏊჹ࿂ᅭᐋᅿηวϐቹៜᆶჹྣ
ಔคᡉৡ౦ǶಥృǵၲԖᓪϷྐѸృࣣࣁӀӝس II ڋᏊǹၲԖᓪࣁֿન ᜪନᏊǴࡼᛰࡕЬाఠԝϩѲܭ 2-3 ϦϩభβϐᚇǴԶբނᅿηϷਥӧᛰᏊቫ ϐΠၨόڙቹៜ(ጯᆶጯǴ2008a)Ƕᆶ୷ӕࣁڋᏊǴڋңҁࣽभ ғߏϷᗡယਥǴ୷ჹНዿޔኞभԖڋຝǴჹ౽भ߾คڋ
ຝ(ጯᆶጯǴ2008a)ǴΒǴѤ-ӦᆶΟෛКϷזլࣣࣁғߏፓᏊࠠନᏊǴЬा
ࣁڋᗡယᚇǴΟޣೀΠϐ࿂ᅭᐋᅿηᗨฅᆶჹྣಔ࣬Кคᡉৡ౦Ǵ ՠܭ࿂ᅭᐋѴभёᢀჸډಳ՜ߏסԔϐᛰ্ϸᔈǴჹ࿂ᅭᐋѴभғߏวػౢғቹ ៜǶҷදჹңҁࣽᚇڀԖଯᒧ܄Ǵჹᗡယᚇ൳ЯคቹៜǶ(Luo et al., 2002)Ƕ
ࡼҔྐữ(1.50 kg ha-1)ǵѰವӭ(1.20 kg ha-1)ǵྐ(1.20 kg ha-1)ǵൺ
(1.00 kg ha-1)ϷࡕନᏊԭೲໜ(0.50 kg ha-1)ჹ࿂ᅭᐋᅿηวڋᆶჹྣ
ಔ ࣬ К Ԗ ᡉ ޑ ৡ ౦ Ƕ ԭ ೲ ໜ ࣁ ữ ୷ ለ ӝ ԋ ڋ Ꮚ Ǵ ё ӧ ཱུ ե ޑ ᐚ ࡋ Π ჹ acetolactase synthase (ALS) ሇનԋڋǴӧ၂ᡍύჹ࿂ᅭᐋᅿηวڋૈΚന ଯǴჹᗡယᚇཱུࡋ௵ག(Usui, 2001)ǶྐữᆶѰವӭڋԃғңϷᗡ ယǴᆶǵ୷ӕឦ Chloroacetamides ᜪନᏊǴՠࠅᡉޑڋ࿂ᅭᐋѴ भғߏǴёૈᆶନᏊޑၮ౽ૈΚ܈ࢂ glutathione S-transferase ޑሇનࢲ܄Ԗᜢ (Fuerst et al., 1987)ǶൺෛᆶྐࣣឦܭጢڋᏊǴჹܭᘉယᚇڀԖؼӳޑ
ڋਏ݀(Achhireddy et al., 1984; Schroede, 1992)Ƕ
࿂ᅭᐋନᏊ၂ᡍύᒧрǵಥృǵࡼளলаϷॄӛڋಔԭೲໜ
ՉғނᔠۓǴѤᅿନᏊೀύǵǵಥృჹܭ࿂ᅭᐋᅿηखືϷਥڋ
ၲ 50%܌ሡᐚࡋεܭ 500 mg L-1Ǵࡼளলჹܭ࿂ᅭᐋᅿηਥڋڋၲ 50%܌ሡᐚ ࡋΨௗ߈ 500 mg L-1ǴԶԭೲໜڋၲ 50%܌ሡᐚࡋࣣλܭ 5 mg L-1 ǴΓࣴزύ ጯᆶጯΓ(2008b)аԭೲໜჹ⽋ᴦखਥڋၲ 50%܌ሡᐚࡋࣁ 1.6 ppm ֆΓ (2007)аԭೲໜೀ☞ٿϺڋၲ 50%܌ሡᐚࡋࣁ 13 ppmǴᡉҢԭೲໜჹ࿂ᅭ ᐋޑڋࢲ܄ၨଯǶำΓ(2006)ൔᏤჹଯखਥڋၲ 50%܌ሡᐚࡋࣁ 62-170 ppmǶଭᆶ(1994)ೀჹλഝᆶखਥڋၲ 50%܌ሡᐚࡋࣁ 22 Ϸ 16 ppmǶPhewnil et al(2012)߾ൔᏤಥృჹੌғߏڋၲ 50%܌ሡᐚࡋࣁ 13.4 ppmǶᡉҢ࣬ჹܭځдբނǴ࿂ᅭᐋჹǵಥృϷࡼளলΟᅿନᏊԖၨଯޑ ऐڙ܄Ǵёᒧ܄ٛନᚇԶόቹៜ࿂ᅭᐋғߏǶ
ҁࣴزෳ၂Α 19 ᅿନᏊჹ࿂ᅭᐋᅿηวޑቹៜǴୖ၂ᛰᏊύ 14 ᅿନ
Ꮚჹ࿂ᅭᐋᅿηᆶჹྣಔคᡉৡ౦ǴᡉҢಥృǵǵ୷ǵ
ၲԖᓪǵྐѸృǵࡼளলǵᏳΏӼǵҁၲໜǵҷදǵڰఠǵᕗ༞ᛰᏊڀ ወΚᔈҔܭ࿂ᅭᐋᚇᆅǴځύࡷᒧǵಥృϷࡼளলՉ࿂ᅭᐋख
ືᆶਥ՜ߏϐғނᔠۓǴᡉҢǵಥృϷࡼளলჹܭ࿂ᅭᐋѴभखືᆶਥޑ ғߏڋࢲ܄ၨեǴЪځҖ໔ҔໆςىаၲډᚇڋǶ
5.2 ࿂ ࿂ᅭᐋࡕନᏊᑔᒧᆶᛰ্ᔠۓ!
ନᏊࡼҔࡕǴಥృǵၲԖᓪϷྐѸృჹ࿂ᅭᐋਲ਼ϐғߏวػԖᝄ ख़্Ǵ೭ΟᅿନᏊϐբҔᐒڋࣣࣁӧӀӝس II (photosystem II)ڋӀӝբҔ ϐՉ(Cobb, 1992; Devine et al., 1993)ǴᛰᏊೀࡕᛰ্ቻރЬाࣁယТϯǶ 16 DATࡕယТኧҞቃਗ਼෧Ͽ(߄ 11)Ǵಥృ(1.60 kg ha-1)ǵၲԖᓪ(2.00 kg ha-1)Ϸ
ၲԖᓪ(1.00 kg ha-1)ೀಔਲ਼ҭᎁڙᝄख़ϐғߏߔᛖ(߄ 5ǵ߄ 6)ǶErasmo et al.
(2009)ޑࣴزҭࡰрಥృ(3.00 kg ha-1)ೀԋ࿂ᅭᐋᝄख़ᛰ্ǴՠӧӕࣴزύǴ
ၲԖᓪ(2.00 kg ha-1)ೀԋޑ߃ය্ёӣൺԿᆶჹྣೀคᡉৡ౦Ƕҁࣴز ύܭ࿂ᅭᐋਲ਼ғߏԿ 30 cm ਔՉନᏊೀǴԶ Erasmo et al. (2009)ޑࣴزύ
߾ࣁ࿂ᅭᐋᅿηኞᅿࡕջՉନᏊೀǴ೭ёૈࢂӢࣁନᏊೀБԄό ӕԶԋ่݀ޑৡ౦Ƕ
(2.50 kg ha-1)ೀԋ࿂ᅭᐋਲ਼ϐᇸ༾্Ǵቹៜਲ਼ಳယғߏϷଳᗲ ᅿಕᑈǴՠ(1.25 kg ha-1)Ϸ୷(1.50, 0.75 kg ha-1)ೀ߾คڋ࿂ᅭᐋ
ਲ਼ϐғߏǶࡼளলೀᗨฅቹៜ࿂ᅭᐋਲ਼ଯғߏǴՠӧᗲଳख़ಕᑈᆶჹྣೀ
คᡉৡ౦Ƕӧ࣬ᜢࣴزύҭԖ࣬՟่݀Ǵࡼளল(1.25 kg ha-1)ೀόڋ࿂ᅭ ᐋਲ਼ϐғߏวػǴਲ਼ଯǵಳ৩Ϸϩ݄ኧᆶჹྣೀคᡉৡ౦(Erasmo et al., 2009)ǹ ќࣴز߾ᡉҢࡼளল(1.50 kg ha-1)ჹΟᅿ୷Ӣࠠ࿂ᅭᐋޑᛰ্ࣣӧ 10%аΠǴ
ӝܭ࿂ᅭᐋϐᚇᆅ٬Ҕ(Rocha et al., 2010)Ƕ
ࡕନᏊΒǴѤ-ӦϷΟෛКࣁғߏનࠠନᏊǴբҔჹຝࣁᗡယނ(Cobb, 1992; Devine et al., 1993)ǴӢԜࡼҔࡕჹ࿂ᅭᐋਲ਼ౢғᝄख़ϐ্Ƕڰఠࣁௗ
ࠠନᏊǴբҔᐒڋࣁڋނ glutamine synthetase (GS)ሇનϐբҔǴԋނ ᡏϣϐжᖴڙߔǴౢғࢥ্ຝ (ЦǴ2000)Ƕᕗ༞ࣁسࠠନᏊǴբҔᐒ ڋࣁڋ EPSP ӝԋ䁙Ǵԋނᡏϣޱ३ữ୷ለӝԋڙߔԶౢғࢥ্(Cobb, 1992; Devine et al., 1993)ǶڰఠϷᕗ༞ࣣឦܭࡕߚᒧ܄ନᏊǴࡼҔࡕჹ
࿂ᅭᐋਲ਼ౢғᝄख़ޑࢥ্բҔǴߔᛖғߏࣗԿԋਲ਼ԝΫǶҁၲໜᆶନ
ᏊಥృǵၲԖᓪϷྐѸృӕࣁӀӝբҔڋࠠନᏊǴՠҁၲໜೀࡕ٠҂
ჹ࿂ᅭᐋਲ਼ౢғᝄख़ϐᛰ্Ƕҷදữ୷ለӝԋڋࠠନᏊǴჹ࿂ᅭᐋҭ҂
ԋ্(߄ 17ǵ߄ 18)ǶҁၲໜբҔჹຝࣁᗡယᚇǴҷදբҔჹຝࣁңҁࣽ
ᚇǴ೭ٿᅿନᏊჹ࿂ᅭᐋϐғߏคܴᡉϐߔᛖǴҭёаӝܭ࿂ᅭᐋϐᚇ
ᆅ٬ҔǶ
ନᏊቔࡼਔёૈӢᏹբόǵᛰᏊតණӢનԶჹբނౢғቹៜǴନᏊ
ޔௗ܈໔ௗޑቹៜނӀӝբҔǴڋӀسаϷႝηሀᗗૈΚǴ٠फ़եယ ᆘન֖ໆ(Draber et al., 1991)ǶฅԶᛰ্ౢғԿ߄ය໔ਲ਼ёૈςڙᝄख़ޑቹៜǶ Ӏғࡰύதᄊϯৡ౦ғࡰ(NDVI)ᆶယᆘન֖Ԗࡰኧ(SPAD)ёϸࢀယТယ ᆘન֖ໆޑᡂϯ(Gitelson and Merzlya, 1998; Markwell et al., 1995; Uddling et al., 2007)ǴӀໆηౢॶȐQYȑ߾ёϸᔈਲ਼ӀӝբҔႝηሀᗗޑૈΚ(Hogewoning et al., 2012)Ƕᙖҗॊࡰёаזೲᕇளਲ਼ޑғރᄊǶନᏊಥృǵၲԖ ᓪǵྐѸృᆶࡕନᏊҁၲໜЬࣣࣁჹӀӝسՉڋǴޔௗϸᔈӧӀໆη
ౢॶȐQYȑယᆘન֖Ԗࡰኧ(SPAD)!Ϸதᄊϯৡ౦ғࡰ(NDVI)ޑ߄ǶΟ
ෛКࣁғߏፓᏊࠠନᏊǴ٬ނזೲғߏԶᆃǴനಖϸࢀӧਲ਼Ӏӝૈ
ΚޑΠफ़ᆶယᆘનޑफ़ှǶڰఠࣁ glutamine synthetase (GS)ሇનڋᏊǴΓࣴ
زӭԖගϷቹៜނӀӝբҔǴՠځբҔᐒڋϝԖࡑᙶమ(Coetzer and Al-Khatib, 2001)Ƕ่݀ᡉҢࡼҔբҔᐒڋᆶӀӝբҔ࣬ᜢϐନᏊࡕǴନᏊჹܭ࿂ᅭᐋӀ ӝբҔޑቹៜϸᔈӧӀғࡰޑ߄ǴᇥܴӀғࡰॶёջਔᅱෳࡼҔ
ᛰᏊჹܭ࿂ᅭᐋޑቹៜǴаբࣁࡕុᚇᆅҔᛰޑ٩ᏵǶ
ҁࣴزෳ၂Α 6 ᅿନᏊϷ 6 ᅿࡕନᏊࡼҔჹ࿂ᅭᐋਲ਼ϐቹៜǴ ᑔᒧӝܭ࿂ᅭᐋҖ໔ਭᚇᆅ٬ҔϐନᏊǶ่݀ᡉҢନᏊ
(1.25 kg ha-1)ǵ୷(1.50, 0.75 kg ha-1)ǵࡼளল(1.25, 0.63 kg ha-1)ϷࡕନᏊ ҁၲໜ(1.20, 0.60 kg ha-1)ǵҷද(0.25, 0.13 kg ha-1)ೀჹ࿂ᅭᐋਲ਼คܴᡉϐғ ߏߔᛖǴڀԖወΚёҔܭ࿂ᅭᐋਭϐᚇٛନǶ
5.3 ࿂ ࿂ᅭᐋҖ໔ନᏊ၂ᡍ!
ҁࣴزෳ၂࿂ᅭᐋόӦਭύǴଞჹҶહҖᅿᙟᇂբނȐҖȑࡕբᅿ
όӦ࿂ᅭᐋӕਔ໔բߙപҏԯǴ٠ܭ࿂ᅭᐋϷҏԯቔࡼନᏊǴаΑှ
ନᏊჹ࿂ᅭᐋϷ໔բҏԯޑቹៜǶ่݀ᡉҢ࿂ᅭᐋᆶҏԯрβਔ໔όڙନᏊ ቔࡼቹៜЪᆶЎठ(ើΓǴ2007)ǴҖ໔ᚇ߾Ԗਏޑٛନ(კ 24)Ǵܭ࿂ᅭ ᐋϷҏԯѴਲ਼Կԋਲ਼ࣣคᢀჸډܴᡉϐᛰ্ౢғǴᆶ࿂ᅭᐋࡕନᏊ၂ᡍ่݀
ठǶಥృᆶࣁᒧ܄ᗡယନᏊǴςቶݱᔈҔܭҏԯਭύ(Gaynor et al., 1992; Shimabukuro et al., 1971)Ƕᕗᖻᗨฅࣁቶਏ܄ନᏊǴՠቔࡼࡕᆶ βᝆ่ӝԶफ़եբނԖਏ֎ԏޑໆ(Sprankle et al., 1975)ǶӢԜ࿂ᅭᐋᆶҏԯрβࡕǴ βᝆύᕗᖻԖਏ֖ໆёૈόىаၲډڋǶԜѦᆶҖࡕբᅿόӦ࿂ᅭᐋ ٠໔բߙപҏԯǴჹཥ࿂ᅭᐋԋ݅߃යޑᚇૈԖਏޑڋǴЪόӦਭё Ԗਏ෧ϿӦբԋҁЍрǴ٠ቚуයբߙപҏԯޑԏǶ
ҁࣴزෳ၂࿂ᅭᐋόӦਭڋࡋύቔࡼନᏊషᏊᕗᖻ(1.6 kg ha-1)ɠ
(1.4 kg ha-1)ɠಥృ(1.6kg ha-1)ჹܭ࿂ᅭᐋϷҏԯޑቹៜǴ่݀ᡉҢᕗᖻ(1.6 kg ha-1)ɠ(1.4 kg ha-1)ɠಥృ(1.6kg ha-1)Ǵჹ࿂ᅭᐋϷҏԯਲ਼คܴᡉϐ
ϷғߏߔᛖǴڀወΚᔈҔܭ࿂ᅭᐋόӦਭϷ࿂ᅭᐋҖ໔բҏԯਔϐᚇᆅ
ϐᙚҔᛰǶ
ಃ
ಃϤകǵ่ᇟϷ҂ٰఈ
ҁࣴزᑔᒧёҔܭ࿂ᅭᐋϷࡕᚇᆅϐନᏊǴ٠ᢀჸ໔բڋࡋΠ ନᏊࡼҔჹ࿂ᅭᐋϷ໔բբނҏԯϐቹៜǴ߃ჹܭ࿂ᅭᐋϷࡕᚇᆅ
ᙚኧᅿёҔϐନᏊǴගٮӭᅿᒧаᅈىόӕޑᚇᆅሡ
࿂ᅭᐋᚇᆅ၂ᡍύǴಥృǵǵ୷ǵၲԖᓪǵྐѸృǵ
ࡼளলǵᏳΏӼǵҁၲໜǵҷදǵڰఠᆶᕗ༞ჹ࿂ᅭᐋᅿηϷғߏค
ܴᡉڋǴڀወΚᔈҔܭ࿂ᅭᐋᚇᆅǶ
࿂ᅭᐋࡕନᏊ၂ᡍύǴନᏊ(1.25 kg ha-1)ǵ୷(1.50, 0.75 kg ha-1)ǵࡼளল(1.25, 0.63 kg ha-1)ϷࡕନᏊҁၲໜ(1.20, 0.60 kg ha-1)ǵҷද (0.25, 0.13 kg ha-1)ೀჹ࿂ᅭᐋਲ਼คܴᡉϐғߏߔᛖǴڀԖወΚёҔܭ࿂ᅭᐋ
ࡕϐᚇᆅǶ
࿂ᅭᐋҖ໔ନᏊ၂ᡍύǴᕗᖻ(1.6 kg ha-1)ɠ(1.4 kg ha-1)ɠಥృ
(1.6kg ha-1)షᏊჹܭ࿂ᅭᐋᆶҏԯғߏคܴᡉϐғߏߔᛖǴёᔈҔܭ࿂ᅭᐋόӦ ਭϐᚇᆅǶ
҂ٰϝሡ׳ޑࣴزٰࡌҥӝѠޑ࿂ᅭᐋਭڋࡋǴаϷΑှନ
Ꮚჹ࿂ᅭᐋϷόӕ໔բբނϐቹៜǴٮόӕਭڋࡋջόӕᚇᆅሡᙚӝ
ϐନᏊǴаයၲԋԖਏޑၭᛰࡼҔǴ٠फ़եჹᕉნϷբނ܌ԋޑቹៜǶ
ୖ
ୖԵЎ
ЦדమǶ3123Ƕ࿂ᅭᐋယТගڗనჹނᅿηวޑϯགਏᔈǶжၭࣽמǶ 21;2::.323Ƕ!
ЦቼျǶ2000ǶڰఠନᏊϐբҔϷל܄ᐒڋǶࣽᏢၭǶ48:322-324Ƕ Ֆ⻡ǵဤݥǵणྍࢫǵ྆䬠ǵࡾǶ2010Ƕ࿂ᅭᐋ(Jatropha curcas L.)ނᏢ
ࣴزǶߏԢࢬୱၗྍᆶᕉნǶ19:120-127Ƕ
ֆᖂඪǵЦமǵᇳᏢѳǵֆߏᑫǵഋǵ؇ਕؼǶ2007Ƕ☞ჹ 7 ᅿନᏊޑ
௵ག܄ϷځғނෳۓБݤޑࣴزǶੈԢၭᏢൔǶ19(1):37-41Ƕ
ڬܱѶǵᅽࢃǶ1991Ƕᙟᇂբނᆶහ݅ӆғϐ࣬ғ߽࣬բҔǶᚇᏢтǶ 12(1): 33-40Ƕ
݅ীǵڬᒧൎǵঞլଈǵഋܫǶ2004ǶഞᅭᐋނၗྍࣴزཷݩǶ٥
ނᏢൔǶ12:285-290Ƕ
ߋ܃၍ǵጰЎᅽǶ2002ǶҖኦᇂჹόӦਭߙപҏԯᚇᆅϷౢໆޑቹៜǶ ύ҇୯ᚇᏢтǶ23(1)13-22Ƕ
ߋࡌύǶ1995ǶఠᏊޑᒧ܄ǶѠύၭૻǶ10:20-24Ƕ
ߠᅽϩǵ݅ЎᓪǶ1984ǶόӦਭݤϐࣴزϷఈǶࣽᏢၭ 32:351-355Ƕ
ࡼݒችǵෞᅇܴǶ2010ǶѠഞᅭᐋੰᙝ্ൔᏤǶ݅ࣴزૻǶ17(5):68-71Ƕ ଭԄ༹ǵᐋ۸Ƕ1994Ƕλഝᅿჹ 6 ᅿ儞ữᜪନᏊ௵ག܄ෳۓǶᚇࣽᏢǶ
1:8-9Ƕ
ଯǵᗛЦǶ2011Ƕഞᅭᐋݨᆶғނࢲ܄ނ፦ޑϩᚆપϯϷځወӧᔈҔǶϯπǶ 58(1):40-49Ƕ
ܴ۸ǵᘲЎ݅ǵഋཥϓǵླྀ݅ǵߎ݇ǵ᮶ѳǵݓົǵࡾǶ2008Ƕ൳ᅿନ
ᏊჹഞᅭᐋभҖᚇޑٛନਏ݀ǶᚇࣽᏢǶ2:60-61Ƕ
ૈԋǵ݅ۚǵۘကǶ1988ǶҏԯόӦਭמೌϐࣴزǶᚇᙂբނ၂ᡍࣴ
زԃൔǶಃ 243-247 ।Ƕ
ำਥݓǵٔۇۇǵླྀǵك௵ǵणྻǵइܴξǶ2006ǶଯჹҘữޑ௵ག܄
ࣴزǶᚇᙂբނǶ26( 2):126~127Ƕ
ླྀߎܱǵഋ⋹യǶ2010ǶѠᅿഞᅭᐋޑёՉ܄߃ǶᕉნᆶᆅࣴزǶ 11:105-116Ƕ
ᔮૈྍֽǶ2013ǶѠӦૈྍीԃൔǶ!
ၘ׆Ƕ2009Ƕ࿂ᅭᐋᅿচӧѠғߏ܄ᆶᕷמೌຑǶࡀܿࣽמεᏢၭ
ᄤ୯ሞӝբس܌ᅺγፕЎǶ
ቅБݹǵܲǵ҉ҏǶ2012Ƕύ୯࿂ᅭᐋࣴزᆶ໒วճҔރǶύ୯ၭယ εᏢᏢൔǶ17(6):178-184Ƕ
ጯ҉҅ǵጯኀ⍍Ƕ2002Ƕၭᛰᛰ্ޑวғᆶບᘐǶၭہၭᛰނࢥނ၂ᡍ܌Ƕ
ಃ 180-182 ।Ƕ
ጯ҉҅ǵጯኀ⍍Ƕ2006ǶၭҖᚇᆶନᏊाំǶՉࡹଣၭہၭᛰނࢥ ނ၂ᡍ܌рހǶಃ 1-104 ।Ƕ
ጯ҉҅ǵጯኀ⍍Ƕ2008aǶதҔନᏊϐ܄ᆶᔈҔǶբނບᘐᆶၭᛰ٬ҔӼӄמ
ೌЋнǶಃ 205-226 ।Ƕ
ጯ҉҅ǵጯኀ⍍Ƕ2008bǶ⽋ᴦҖନᏊᑔᒧǶύ҇୯ᚇтǶ29Ǻ121-130Ƕ ጯ҉҅Ƕ2002ǶԖᐒਭϐᚇٛݯמೌǶၭ၂ᡍ܌тǶ102:97-104Ƕ
ᑵࡹѶǵߋࡌύǵᗛᆢᄪǶ2003ǶѠጫҖନᏊϐᔈҔᆶวǶύ҇୯ᚇ
ᏢтǶ24(2):99-113Ƕ
ᔈಏǶ1993ǶѠଯނறՅკᇞಃѤڔǶಃ 590 ।Ƕ
ᝄཥǶ2005ǶѠѦٰᅿނޑЇᅿᆶճҔǶѠӦނၗྍϐӭኬ܄ว
ࣴǶಃ 43-61 ।Ƕ
ើғဗǵഌЎࣽǵᐽᓉᎢǵणᛏǵើ଼߿Ƕ2007Ƕ࿂ᅭᐋϷځਭמೌǶቶՋၭ
ᏢൔǶ22:43-45Ƕ
Jatropha curcas L: Utilization of multipurpose species for rhizoremediation. Biomass & Bioenergy 51:189-193.
Abugre S., Sam S. J. Q. (2010) Evaluating the allelopathic effect of Jatropha curcas aqueous extract on germination, radicle and plumule length of crops. Int. J. Agric. Biol. 12:769–772.
Achhireddy N. R., Kirkwood R. C., Fletcher W. W. (1984) Oxadiazon absorption, translocation, and metabolism in rice (Oryza sativa) and barnyardgrass (Echinocbloa crus-galli). Weed Science 32:727-731
Adebowale K.O., Adedire C.O. (2006) Chemical composition and insecticidal properties of the underutilized Jatropha curcas seed oil. Biotechnol. 5:901-906.
Agamuthu P., Abioye O. P., Aziz A. A. (2010) Phytoremediation of soil contaminated with used lubricating oil using Jatropha curcas. Journal of hazardous materials, 179(1):891-894.
Ali H., Khan E., Sajad M.A. (2013) Phytoremediation of heavy metals-Concepts and applications.
Chemosphere 91:869-881.
Bártoli J. A. A. (2008) Physic Nut (Jatropha curcas) Cultivation in Honduras Handbook. Agricultural Communication Center of the Honduran Foundation for Agricultural Research.
Belz R. G. (2007) Allelopathy in crop/weed interactions—an update. Pest management science 63(4):308-326.
Berazaín R., Fuente V., Sanchez-Mata D., Rufo L., Rodríguez N., Amils R. (2007) Nickel localization on tissues of hyperaccumulator species of Phyllanthus L. (Euphorbiaceae) from ultramatic areas of Cuba. BiolTrace Elem Res 115:67–86.
Berchmans H. J., Hirata S. (2008) Biodiesel production from crude Jatropha curcas L. seed oil with a high content of free fatty acids. Bioresource Technology 99:1716-1721.
Brittaine R., Lutaladio N. (2010) Jatropha: a smallholder bioenergy crop: the potential for pro-poor development. Integrated Crop Management vol. 8. FAO, Rome.
Caamal-Maldonado J.A., Jimenez-Osornio J.J., Torres-Barragan A., Anaya A.L. (2001) The use of allelopathic legume cover and mulch species for weed control in cropping systems. Agronomy
Journal 93:27-36.
Chehregani A., Malayeri B. E. (2007) Removal of heavy metals by native accumulator plants. Int. J. Agri.
Biol. 9(3):462-265.
Cobb A. (1992) Herbicides and plant physiology. Chapman & Hall, Inc. London, New York, USA.
Coetzer E., Al-Khatib K. (2001) Photosynthetic inhibition and ammonium accumulation in palmer amaranth after glufosinate application. Weed Science 49(4):454-459
Contran N., Chessa L., Lubino M., Bellavite D., Roggero P.P., Enne G. (2013) State-of-the-art of the Jatropha curcas productive chain: From sowing to biodiesel and by-products. Industrial Crops and Products 42:202-215.
Costa N. V., Erasmo E. A. L., Queiroz P. A., Dornelas D. F., Dornelas B. F. (2009). Effect of simulated glyphosate drift on the initial growth of physic nut plants. Planta Daninha 27:1105-1110.
Devine M., Duke S. O., Fedtke C. (1993) Physiology of herbicide action. P T R Prentice-Hall, Inc. New Jersey, USA.
Draber W., Tietjen K., Kluth J. F., Trebst, A. (1991), Herbicides in Photosynthesis Research. Angewandte Chemie International Edition in English 30: 1621–1633.
Erasmo E.A.L., Costa N.V., Terra M.A., Fidelis R.R., (2009) Initial tolerance of physic nut plants to pre and post-emergence herbicide application. Planta Daninha 27:571-580.
Erismann N.M., (2006) Lead uptake and tolerance of Ricinus communis L. Braz. J.Plant Physiol.
18:483-489.
Evan M.V., Filho D.O., Martins M.A., Steward B.L. (2011) Bioethanol production potential from Brazilian biodiesel co-products. Biomass Bioenerg. 35:489-494.
Fuerst E. P. (1987) Understanding the mode of action of the chloroacetamide and thiocarbamate herbicides. Weed Technology 1(4):270-277
Galloway B. A., Weston L. A. (1996) Influence of cover crop and herbicide treatment on weed control and yield in no-till sweet corn (Zea mays L.) and pumpkin (Cucurbita maxima Duch). Weed
Garbulsky M. F., Peñuelas J., Peñuelas J., Inoue Y., Filella I. (2011) The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies A review and meta-analysis. Remote Sensing of Environment 115:281-297.
Gaynor J. D., MacTavish D. C., Findlay W. I. (1992) Surface and subsurface transport of atrazine and alachlor from a Brookston clay loam under continuous corn production. Archives of Environmental Contamination and Toxicology 23(2):240-245
Ghersa C.M., Benech-Arnold R.L., Satorre E.H., Martinez-Ghersa M.A. (2000) Advances in weed management strategies. Field Crops Research 67:95-104.
Gitelson A. A., Merzlya M. N. (1998) Remote sensing of chlorophyll concentration in higher plant leaves.
Advances in Space Research 22(5)1:689–692
Gonçalves K. S., São José A. R., Velini E. D. (2009) Selectivity of oxyfluorfen for physic nut culture.
Planta Daninha 27:1111-1116.
Gonçalves K. S., Sao José A. R., Cavalieri S. D., Martins I. S. B., Velini E. D. (2011) Selectivity of herbicides applied in post-emergence on physic nut (Jatropha curcas L.). Revista Brasileira de Herbicidas 10(2):110-120
Green L. (2009). Jatropha as biofuel: an analysis of the possible implications for food Security in Mali (Doctoral dissertation, Dalhousie University)
Gübitz G. M., Mittelbach M., Trabi M. (1999) Exploitation of the tropical oil seed plant Jatropha curcas L. Bioresource Technology 67:73-82.
Hogewoning S. W., Wientjes E., Douwstra P., Trouwborst G., Ieperen W V., Croce R., Harbinson J.
(2012) Photosynthetic quantum yield dynamics: from photosystems to leaves. The Plant Cell 24:
1921–1935.
Jamil S., Abhilash P.C., Singh N., Sharma P.N., (2009) Jatropha curcas: a potential crop for phytoremediation of coal fly ash. J. Hazard. Mater. 172:269–275.
Kaushik N., Kumar K., Kumar S., Kaushik N., Roy S. (2007) Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jatropha curcas L.) accessions. Biomass & Bioenergy
31:497-502.
Koh, M.Y. Ghazi T.I.M. (2011) A review of biodiesel production from Jatropha curcas L. oil. Renew.
Sust. Energ. Rev. 15:2240-2251.
Kooten, O., Snel J. F., (1990) The use of chlorophyll fluorescence nomenclature in plant stress physiology. Photosynthesis Research 25(3):147-150.
Kumar A., Sharma S. (2008) An evaluation of multipurpose oil seed crop for industrial uses (Jatropha curcas L.): A review. Industrial crops and products 28:1–10.
Kumar G.P., Yadav S.K., Thawale P.R., Singh S.K., Juwarkar A.A. (2008) Growth of Jatropha curcas on heavy metal contaminated soil amended with industrial wastes and Azotobacter - A greenhouse study. Bioresource Technology 99:2078-2082.
Kumar S., Chaube A., Jain S.K. (2011) Post copenhagen summit scenario: attainment of sustainable energy regime in india by Jatropha biodiesel. Energy & Environment 22:877-889.
Kumar S., Chaube A., Jain S.K. (2012) Critical review of jatropha biodiesel promotion policies in India.
Energy Policy 41:775-781.
Li C. Z., Li P. W., Xiao Z. H., Chen J. Z., Zhang L. B. (2012) Current progress in research and
development of woody biodiesel oil feedstock and its industrialization prospect in China. Journal of China Agricultural University 17:175-170.
Li Y. C., Guo Q. S., Shao Q. S., Zhang P., Dai X. L. (2009) Bioassay on herbicidal activity of extracts from Jatropha curcas. Journal of Plant Resources and Environment 18:72-78.
Liu F. Y., Liu L. K., Sun Y. Y. (2012) Research development and utilization status on Jatropha cucas in china. Journal of China Agricultural University 17:178-184.
Lund H. (2007) Renewable energy strategies for sustainable development. Energy 32:912–91
Luo X. Y., Matsumoto H. (2002) Susceptibility of a broad-leaved weed, Acanthospermum hispidum, to the grass herbicide fluazifop-butyl. Weed Biology and Management 2:98–10
Ma Y., Chun J., Wang S.H., Chen F. (2011) Allelopathic potential of Jatropha curcas. African Journal of
Majid N. M.,Islam M.M., Riasmi Y. (2012) Heavy metal uptake and translocation by Jatropha curcas L.
in sawdust sludge contaminated soils. Australian Journal of Crop Science 6(5):891-898 Maldonado J. A. C., Osornio J J., Barragan T. A., Anaya A. L. (2001) The use of allelopathic legume
cover and mulch spocies for weed control in cropping system. Agron. J. 93: 27-36.
Mangkoedihardjo S., Ratnawati R., Alfianti N. (2008). Phytoremediation of hexavalent chromium polluted soil using Pterocarpus indicus and Jatropha curcas L. World Appl Sci J 4(3):338-342.
Mangkoedihardjo S., Surahmaida. (2008) Jatropha curcas L. for phytoremediation of lead and cadmium polluted soil. World Appl. Sci. J. 4(4):519-522.
Markwell J., Osterman C. J., Mitchell J. L. (1995) Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynthesis Research 46:467-472.
Mohsenzadeh F., Rad A. C. (2011) Application of nano-particles of Euphorbia Macroclada for
bioremediation of heavy metal polluted environments. International Conference on Nanotechnology and Biosensors 25:16-20.
Olofsdotter M., Navarez D., Rebulanan M, Streibig J. C. (1999) Weed suppressing rice cultivars-Does allelopathy play a role. Weed Res 39:441-454.
Openshaw K. (2000) A review of Jatropha curcas: an oil plant of unfulfilled promise. Biomass &
Bioenergy 19:1-15.
Ouwens K. D., Francis G., Franken Y. J., Rijssenbeek W., Riedacker A., Foidl N., Bindraban, P. (2007).
Position paper on Jatropha curcas state of the art, small and large scale project development. Fuels from Agriculture in Communal Technology (FACT),Wageningen, The Netherlands: Wageningen Univ; 2007
Peñuelas J., Filella I. (1998) Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends Plant Sci 3:151-156.
Phewnil O.A., Tungkananurak N., Panichsakpatana S., Pitiyont B. (2012) Phytotoxicity of Atrazine Herbicide to Fresh Water Macrophyte Duckweed (Lemna perpusilla Torr.) in Thailand.
Environment and Natural Resources J. 10:16-27
Pramanik K. (2003) Properties and use of jatropha curcas oil and diesel fuel blends in compression ignition engine. Renewable Energy 28(2):239–248.
Prentice, I.C., Farquhar, G.D., Fasham, M.J.R., Goulden, M.L., Heimann, M., Kheshi, H.S., Quere, Le, C., Scholes, R.J., Wallace, D.W.R., Archer, D., Ashmore, M.R., Aumont, O., Baker, D., Battle, M., Bender, M., Bopp, L.P., Bousquet, P., Caldeira, K., Ciais, P., Cramer, W., Dentener, F., Enting, I.G., Field, C.B., Holland, E.A., Houghton, R.A., House, J.I., Ishida, A., Jain, A.K., Janssens, Ivan, Joos, F., Kaminski, T., Keeling, C.D., Kicklighter, D.W., Kohfeld, K.E., Knorr, W., Law, R., Lenton, T., Lindsay, K., Maier-Reimer, E., Manning, A., Matear, R.J., McGuire, A.D., Melillo, J.M., Meyer, R., Mund, M., Orr, J.C., Piper, S., Plattner, K., Rayner, P.J., Sitch, S., Slater, R., Taguchi, S., Tans, P.P., Tian, H.Q., Weirig, M.F., Whorf, T., Yool, A. (2001) The carbon cycle and atmospheric carbon dioxide - In: Climate change 2001: the scientific basis: contribution of Working Group I to the Third Assessment Report of the Intergouvernmental Panel on Climate Change. Cambridge University Press 183-237.
Puente-Rodríguez D. (2010). Biotechnologizing Jatropha for local sustainable development. Agriculture and Human Values 27(3):351-363.
Reeves R.D., Baker A. J. M., Borhidi A., Berazaín R. (1996) Nickel-accumulating plants from the ancient serpentine soils of Cuba. New Phytol 133:217–224
Rice E. L. (1984) Allelopathy. Academic press.
Robert E. B., Jennifer E. B. (2010) Greenhouse gas emissions and land use change from jatropha curcas-based jet fuel in brazil. Environ. Sci. Technol 44:8684–8691.
Rocha P.R.R., Silva A.F., Faria A.T., Galon L., Ferreira E.A., Felipe R.S., Silva A.A., Dias L.A.S. (2010) Selectivity of pre-emergence herbicides to physic nut (Jatropha curcas). Planta Daninha 28:801-806.
Romeiro S., Lagôa A. M. M. A., Furlani P.R., de Abreu Cl A., de Abreu M.F., Erismann N.M. (2006) Lead uptake and tolerance of Ricinus communis L Braz. J. Plant Physiol. 18:483–489
Sabandar C.W., Ahmat N., Jaafar F.M., Sahidin I. (2013) Medicinal property, phytochemistry and
Sahoo N. K., Kumar A., Sharma S., Naik, S. N. (2009) Interaction of Jatropha curcas plantation with ecosystem. Engineering & Technolog 51:666-671
SAS Institute. (1999) SAS/STAT User’s guide. Releases 9.1.3 Ed. SAS Institute, Inc. Cary, NC, USA.
Sasmaz A., Sasmaz M. (2009) The phytoremediation potential for strontium of indigenous plants growing in a mining area. Environmental and Experimental Botany 67:139-144.
Schroede J. (1992) Oxyfluorfen for directed postemergence weed control in chile peppers (Capsicum annuum). Weed Technology 6(4): 1010-1014
Shimabukuro R. H., Frear D. S., Swanson H. R., Walsh, W. C. (1971). Glutathione conjugation an enzymatic basis for atrazine resistance in corn. Plant physiology 47(1):10-14.
Shu X., Yin L.Y., Zhang Q.F., Wang W.B. (2012) Effect of Pb toxicity on leaf growth, antioxidant enzyme activities, and photosynthesis in cuttings and seedlings of Jatropha curcas L. Environmental Science and Pollution Research 19:893-902.
Silitonga A.S., Atabani A.E., Mahlia T.M.I., Masjuki H.H., Badruddin I.A., Mekhilef S. (2011) A review on prospect of Jatropha curcas for biodiesel in Indonesia. Renewable & Sustainable Energy Reviews 15:3733-3756.
Singh P., Singh S., Mishra S. P., Bhati S. K. (2010) Molecular characterization of genetic diversity in Jatropha curcas L. Genes, Genomes and Genomics 4:1-8.
Soane B.D., Ball B.C., Arvidsson J., Basch G., Moreno F., Roger-Estrade J. (2012) No-till in northern, western and south-western Europe: A review of problems and opportunities for crop production and the environment. Soil and Tillage Research 118:66-87.
Sprankle p., Meggitt W. F., Penner D. (1975) Rapid inactivation of glyphosate in the soil. Weed Science 23(3):224-228
Sunderland S. L., Santelmann P. W., Baughman T. A. (1991) A rapid, sensitive soil bioassay for sulfonylurea herbicides. Weed Science 39:296-298.
Swinton S.M., Buhler D.D., Forcella F., Gunsolus J.L., King R.P. (1994) Estimation of crop yield loss due to interference by multiple weed species. Weed Science 42:103-109.
Trabucco A., Achten W.M.J., Bowe C., Aerts R., Van Orshoven J., Norgrove L., Muys B. (2010) Global mapping of Jatropha curcas yield based on response of fitness to present and future climate. Global Change Biology Bioenergy 2:139-151.
Uddling J., Gelang-Alfredsson J., Piikki K., Pleijel H. (2007) Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynth Res. 91:37–46.
Usui K. (2001) Metabolism and selectivity of rice herbicides in plants. Weed Biology and Management 1:
137–146.
Wang H., Chen Y., Zhao Y. N., Liu H. Y., Liu J. X., Makkar H. P. S., Becker K. (2011) Effects of replacing soybean meal by detoxified Jatropha curcas kernel meal in the diet of growing pigs on their growth, serum biochemical parameters and visceral organs. Animal Feed Science and Technology 170:141-146.
Weston L. A. (1990) Cover crop and herbicide influence on row crop seedling establishment in no-tillage culture. Weed Science 38(2):166-171
Wu H., Pratley J., Lemerle D., Haig T. (2001) Allelopathy in wheat (Triticum aestivum). Annals of Applied Biology 139:1-9.
Wu Q.H., Wang S.Z., Thangavel P., Li Q.F., Zheng H., Bai J., Qiu R.L. (2011) Phytostabilization Potential of Jatropha Curcas L. in Polymetallic Acid Mine Tailings. Int J Phytoremediation 13:788-804.
Yadav S.K., Juwarkar A.A., Kumar G.P., Thawale P.R., Singh S.K., Chakrabarti T. (2009)
Bioaccumulation and phyto-translocation of arsenic, chromium and zinc by Jatropha curcas L.:
Impact of dairy sludge and biofertilizer. Bioresource Technology 100:4616-4622.
Yenish J. P., Worsham A. D., York, A. C. (1996) Cover crops for herbicide replacement in no-tillage corn (Zea mays). Weed Technology 815-821.
ߕ ߕᒵ!
߄ 3ǵ࿂ᅭᐋନᏊ၂ᡍϐୖ၂ᛰᏊǶ
ύЎӜ मЎӜ ࠔӜ Ꮚࠠ Ԗਏԋϩ
Β,Ѥ-Ӧ 2,4-D ΒǵѤ-Ӧ ёᔸ܄ણᏊ 80%
Alachlor ٢Ꮚ 41.5%
ಥృ Atrazine ಥృ ёᔸ܄ણᏊ 50%
ҁၲໜ Bentazon լࢃ ྋన 44.1%
୷ Butachlor ਥҁନ ٢Ꮚ 60%
ᏳΏӼ Dinitramine പ ٢Ꮚ 25%
ၲԖᓪ Diuron మڰ НᝌᏊ 40%
ҷද Fluazifop-butyl ܮྃ ٢Ꮚ 17.5
ڰఠ Glufosinate ԭ၂ၲ ྋన 13.5%
ᕗ༞ Glyphosate ᑫໜࡾ ྋన 41%
ྐữ Metazachlor লӦ๓ НᝌᏊ 43.1%
ྐѸృ Metribuzin ဃլ ёᔸ܄ણᏊ 70%
ྐ Oxadiazon ᅀྐ ٢Ꮚ 43.1%
ൺ Oxyfluorfen คቹ ٢Ꮚ 23.5%
ࡼளল Pendimethalin ථল ٢Ꮚ 34%
ԭೲໜ Pyrazosulfuron-ethyl ࣪ᕷ ёᔸ܄ણᏊ 10%
זլ Quinclorac ᚺլ ણᏊ 50%
Ѱವӭ S-metolachlor ߎ-ନᇬ ٢Ꮚ 87.3%
ΟෛК Triclopyr уၭ ٢Ꮚ 61.6%
߄ 4ǵ࿂ᅭᐋନᏊ၂ᡍϐୖ၂ᛰᏊǶ
ύЎӜ मЎӜ ࠔӜ Ԗਏԋϩ Ꮚໆ
ಥృ Atrazine ಥృ ёᔸ܄ણᏊ 50.%
ၲԖᓪ Diuron మڰ НᝌᏊ 40.%
ྐѸృ Metribuzin ဃլ ёᔸ܄ણᏊ 70.%
Alachlor ٢Ꮚ 41.5%
୷ Butachlor ਥҁନ ٢Ꮚ 60.%
ࡼளল Pendimethalin ථল ٢Ꮚ 34.%
ᕗ༞ Glyphosate ᑫໜࡾ ྋన 41.%
ڰఠ Glufosinate ԭ၂ၲ ྋన 13.5%
Β,Ѥ-Ӧ 2,4-D ΒǵѤ-Ӧ ёᔸ܄ણᏊ 80.%
ΟෛК Triclopyr уၭ ٢Ꮚ 61.6%
ҁၲໜ Bentazon լࢃ ྋన 44.1%
ҷද Fluazifop-butyl ܮྃ ٢Ꮚ 17.5%
კ 2ǵ၂ᡍය໔Ѡчѳ֡ВྕᡂϯǶ
Fig. 2. Average day temperature in taipei during experiment.
߄ 5ǵନᏊࡼҔჹ࿂ᅭᐋᅿηวϐቹៜǶ
Table 5. Germination rate of Jatropha curcas seeds treated by herbicides
Herbicide Rate Application2) Germination rate ----kg ai ha-1--- %
----Control - - 76.7a1)
Alachlor 2.50 pre 73.3ab
Atrazine 1.60 pre 66.6abc
Butachlor 1.50 pre 53.3abc
Diuron 2.00 pre 70.0ab
Metribuzin 1.50 pre 73.3ab
Pendimethalin 1.25 pre 76.7a
2,4-D 2.00 post 66.7abc
Bentazon 1.50 post 73.3ab
Dinitramine 3.00 post 73.3ab
Fluazifop-butyl 0.25 post 73.3ab
Glufosinate 1.00 post 76.7a
Glyphosate 2.50 post 73.3ab
Metazachlor 1.50 post 50.0bcd
Oxadiazon 5.00 post 30.0bcd
Oxyfluorfen 1.00 post 50.0de
Pyrazosulfuron-ethyl 0.50 post 23.3e
Quinclorac 1.00 post 56.7abc
S-metolachlor 1.20 post 43.3cde
Triclopyr 1.00 post 60.0abc
1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
2)pre, pre-emergence herbicide; post, post-emergence herbicide.
კ 3ǵόӕନᏊჹ࿂ᅭᐋѴभғߏቹៜǶ (A)ǵ(B)ಥృǵ(C) ࡼளলǵ(D) ԭೲໜǶ
Fig. 3. Effect of different concentration (mg L-1) of herbicides on growth of Jatropha curcas seedling. (A) Alachlor; (B) Atrazine; (C) Pendimethalin; (D)
Pyrazosulfuron-ethyl.
კ 4ǵόӕନᏊჹ࿂ᅭᐋѴभғߏϐᏊໆϸᔈǶ
Fig. 4. Dose-response of Jatropha curcas to alachlor based on the root and hypocotyl elongation assay.
Percentage inhibition was determined by the formula: [(control plant length − plant length incubated with alachlor)/control plant length] × 100. Means ± SE from experiment with three replicates for each treatment are shown.
߄ 6ǵନᏊڋ࿂ᅭᐋѴभखਥϷखື՜ߏၲ 50%܌ሡᐚࡋǶ
Table 6. Herbicide concentrations causing 50% inhibition of root and hypocotyl elongation of Jatropha curcas seedling.
Herbicide Part IC50 Regression equation
Alachlor R 575 Y=6.60 + 2.81 (logX) + 4.66 (logX)2 R2=0.99 H 4,168 Y=2.39+ 8.12 (logX) + 1.38 (logX)2 R2=0.99 Atrazine R 562 Y=5.02 + 4.30(logX) + 4.38(logX)2 R2=0.99 H 32,359 Y=1.00 + 6.48(logX) + 0.97 (logX)2 R2=0.97 Pendimethalin R 467 Y=3.55 - 0.37 (logX) + 6.52 (logX)2 R2=0.97 H 10,715 Y=1.93 + 6.03 (logX) + 1.46 (logX)2 R2=0.98
Pyrazosulfuron-ethyl
R 0.003 Y= 83.09 + 9.10 (logX) -1.68 (logX)2 R2=0.97 H 1.25 Y= 48.21 + 16.84 (logX) -1.17 (logX)2 R2=0.93
1) R, Root , H, hypocotyl.
2) IC 50(mg L-1): The concentrations required for 50% growth inhibition of hypocotyls and roots
3) Investigation at 3 days after herbicides treatment.
62
კ5ǵΜΒᅿନᏊᙚໆೀΎϺࡕ࿂ᅭᐋϐᛰ্ቻރǶ Fig.5.The symptoms caused by 12 herbicides injury inJatropha curcaswithrecommended dosage.
კ 6ǵନᏊ Glufosinate ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 6. The effects of the Glufosinate on the growth in Jatropha curcas.
კ 7ǵନᏊ Glyphosate ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 7. The effects of the Glyphosate on the growth in Jatropha curcas.
კ 8ǵନᏊ Pendimethain ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 8. The effects of the Pendimethain on the growth in Jatropha curcas.
კ 9ǵନᏊ Butachlor ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 9. The effects of the Butachlor on the growth in Jatropha curcas.
კ 10ǵନᏊ Alachlor ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 10. The effects of the Alachlor on the growth in Jatropha curcas.
კ 11ǵନᏊ Fluazifop-butyl ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 11. The effects of the Fluazifop-butyl on the growth in Jatropha curcas.
კ 12ǵନᏊ 2,4-D ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 12. The effects of the 2,4-D on the growth in Jatropha curcas.
კ 13ǵନᏊ Triclopyr ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 13. The effects of the Triclopyr on the growth in Jatropha curcas.
კ 14ǵନᏊ Bentazon ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 14. The effects of the Bentazon on the growth in Jatropha curcas.
კ 15ǵନᏊ Diuron ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 15. The effects of the Diuron on the growth in Jatropha curcas.
კ 16ǵନᏊჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 16. The effects of the Metribuzin on the growth in Jatropha curcas.
კ 17ǵନᏊ Atrazine ჹ࿂ᅭᐋғߏϐቹៜǶ
Fig. 17. The effects of the Atrazine on the growth in Jatropha curcas.
߄ 7ǵ࿂ᅭᐋࡕନᏊ၂ᡍෳ၂ନᏊϐᏊࠠǵ٬ҔਔයᆶᏊໆǶ
Table 7. Formulation, application, and rate of herbicides tested.
Name Formulation1 Application2 Rate
Kg ai ha-1(X)3 0.5X
Alachlor EC pre 2.50 1.25
Atrazine WP pre 1.60 0.80
Butachlor EC pre 1.50 0.75
Diuron WP pre 2.00 1.00
Metribuzin WP pre 1.50 0.75
Pendimethalin EC pre 1.25 0.63
2,4-D SP post 2.00 1.00
Bentazon SL post 1.20 0.60
Fluazifop-butyl EC post 0.25 0.13
Glufosinate SL post 1.00 0.50
Glyphosate SL post 2.50 1.25
Triclopyr EC post 1.00 0.50
1)EC, emulsifiable concentrate; SL, soluble concentrate; SP, water-soluble powder; WP, wettable powder.
2)pre, pre-emergence herbicide; post, post-emergence herbicide.
3)a.i., active ingredient.
߄ 8ǵନᏊࡼҔࡕ࿂ᅭᐋਲ਼ଯϐᡂϯǶ
Table 8. Changes in plant height (cm) of Jatropha curcas after treatment of pre-emergence herbicides.
Herbicide Rate (kg ai ha-1)4
Day after treatment (DAT)
8 16 24 48
Control -- 46.0ab1 52.0ab 57.7a 71.8ab Alachlor 2.50 41.3bcde 39.9ef 41.9cd 55.9ef 1.25 48.2a 53.5a 57.8a 66.9bc Atrazine 1.60 36.0f 36.8fg 39.3d –3
0.80 46.0ab 45.1cd 48.5bc 61.3cde Butachlor 1.50 40.8cdef 43.7de 49.8b 63.2cd
0.75 45.9ab 48.4bc 50.2b 73.8a Diuron 2.00 37.8ef 33.7g 44.2bcd –
1.00 40.1cdef 40.5ef 46.8bc 54.1f Metribuzin 1.50 44.6abcd 45.3cd 45.2bcd –
0.75 45.5abc 46.1cd 46.4bc –
Pendimethalin 1.25 42.0bcde 42.6de 47.5bc 56.5ef 0.63 43.9abcd 45.8cd 51.0b 59.5def
F-vaule 5.60**2 15.64** 6.97** 255.39**
1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
2) **
Significant at 1%.
3)– represented the death of plants.
4)a.i., active ingredient.
߄ 9ǵନᏊࡼҔࡕ࿂ᅭᐋಳ৩ϐᡂϯǶ
Table 9. Changes in stem diameter (cm) of Jatropha curcas after treatment of pre-emergence herbicides.
Herbicide Rate (kg ai ha-1)4
Day after treatment (DAT)
8 16 24 48
Control -- 1.34a1 1.47a 1.56ab 1.78ab Alachlor 2.50 0.98f 1.04cdef 1.24d 1.47cd 1.25 1.33a 1.38ab 1.53ab 1.70ab Atrazine 1.60 0.99f 1.01def 1.04ef –3)
0.80 1.14de 1.13cd 1.15de 1.32de Butachlor 1.50 1.25abcd 1.36ab 1.46bc 1.77ab 0.75 1.28abc 1.37ab 1.50abc 1.83a Diuron 2.00 1.06ef 0.95f 0.98f –
1.00 1.00f 0.99ef 1.02ef 1.27e Metribuzin 1.50 1.17bcde 1.16c 1.14de –
0.75 1.11ef 1.12cde 1.12de –
Pendimethalin 1.25 1.29ab 1.40ab 1.62a 1.58bc 0.63 1.15cde 1.30b 1.40c 1.61bc
F-vaule 9.34**2 17.67** 31.30** 159.31**
1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
2)** Significant at 1%.
3)– represented the death of plants.
4)a.i., active ingredient.
߄ 10ǵନᏊࡼҔࡕ࿂ᅭᐋϩ݄ኧϐᡂϯǶ
Table 10. Changes in branch number of Jatropha curcas after treatment of pre-emergence herbicides.1
Herbicide Rate (kg ai ha-1)5
Day after treatment (DAT)
8 16 24 48
Control -- 1.0(1.2)cd2 1.0(1.2)cd 0.7(1.1)cd 0.7(1.1)d Alachlor 2.50 2.0(1.5)bc 3.0(1.7)bc 3.0(1.9)ab 1.0(1.2)cde
1.25 4.0(2.1)ab 5.7(2.4)ab 3.7(2.0)ab 2.7(1.7)bcd Atrazine 1.60 0.0(0.7)d 2.0(1.5)cd 2.7(1.6)bc –4
0.80 2.0(1.6)bc 5.7(2.5)ab 2.0(1.5)bcd 7.7(2.8)a Butachlor 1.50 1.0(1.2)cd 6.0(2.5)ab 2.0(1.6)bc 2.7(1.6)bcd
0.75 2.0(1.5)bc 2.7(1.7)bc 2.0(1.6)bc 2.7(1.7)bcd Diuron 2.00 0.7(1.1)cd 0.7(1.1)cd 0.7(1.1)cd –
1.00 0.7(1.1)cd 0.7(1.1)cd 0.0(0.7)d 3.7(2.0)bc Metribuzin 1.50 0.7(1.1)cd 1.0(1.2)cd 0.7(1.1)cd –
0.75 0.0(0.7)d 0.0(0.7)d 0.7(1.1)cd –
Pendimethalin 1.25 4.7(2.3)a 7.7(2.9)a 6.0(2.5)a 2.7(1.7)bcd 0.63 2.0(1.6)bc 3.0(1.9)bc 3.0(1.9)ab 5.0(2.3)ab
F-vaule 4.45**3 6.45** 4.73** 8.13**
1)The original data were transformed into √x +0.5 and are highlighted in parentheses.
2)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
3)** Significant at 1%.
4)– represented the death of plants.
5)a.i., active ingredient.
߄ 11ǵନᏊࡼҔࡕ࿂ᅭᐋယኧϐᡂϯǶ
Table 11. Changes in leaf number of Jatropha curcas after application of pre-emergence herbicides.
Herbicide Rate (kg ai ha-1)4
Day after treatment (DAT)
8 16 24 48
Control -- 16.0ab1 18.0ab 22.7b 28.7ab Alachlor 2.50 12.7b 14.7c 17.0c 22.7c
1.25 16.7a 19.7a 22.0b 28.0ab Atrazine 1.60 13.0b 5.0d 7.7d –3
0.80 14.0ab 5.0d 6.7de 15.0d Butachlor 1.50 14.7ab 16.7bc 20.0bc 25.0bc
0.75 15.0ab 17.7ab 21.7bc 31.0a Diuron 2.00 14.7ab 3.7d 2.7e –
1.00 12.7b 4.0d 5.7de 11.7d Metribuzin 1.50 15.7ab 4.0d 2.7e –
0.75 15.7ab 5.0d 4.0de –
Pendimethalin 1.25 15.0ab 17.0bc 19.0bc 22.0c 0.63 15.0ab 20.0a 27.0a 27.0b
F-vaule 1.42ns 2 68.93** 36.00** 113.75**
1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
2)** Significant at 1%, ns - not significant.
3)– represented the death of plants.
4)a.i., active ingredient.
߄ 12ǵନᏊࡼҔ 48 Ϻࡕ࿂ᅭᐋယǵಳǵਥᆶӄਲ਼ᗲख़Ƕ
Table 12. Leaf, stem, root and total plant fresh weight (g) of Jatropha curcas in the 48 days after treatment of pre-emergence herbicides.1
Herbicide Rate
(kg ai ha-1)4 Leaf Stem Root Total plant Control - 127.2(0)b2 82.7(0)b 31.7(0)bc 241.6(0)b Alachlor 2.50 84.0(34)c 80.1(3)b 20.5(35)e 184.5(24)c
1.25 118.2(7)b 100.3(-7)ab 28.7(9)cd 247.2(-2)b Atrazine 1.60 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e
0.80 60.0(53)d 50.1(39)c 21.3(33)e 131.4(46)d Butachlor 1.50 109.1(14)b 88.7(-7)b 38.0(-20)ab 235.7(2)b
0.75 167.1(-31)a 119.1(-44)a 41.2(-30)a 327.4(-35)a Diuron 2.00 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e
1.00 42.5(67)d 49.2(40)c 7.0(78)f 98.7(59)d Metribuzin 1.50 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e 0.75 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e Pendimethalin 1.25 124.2(2)b 89.9(-9)b 29.4(7)cd 243.5(-1)b
0.63 133.1(-5)b 82.9(0)b 23.3(27)de 239.2(1)b
F-vaule 59.96**3 31.47** 40.47** 52.26**
1)The inhibitions in percentage relative to untreated control are highlighted in parentheses.
2)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
3)** Significant at 1%.
4)a.i., active ingredient.
߄ 13ǵନᏊࡼҔ 48 Ϻࡕ࿂ᅭᐋယǵಳǵਥᆶӄਲ਼ଳख़Ƕ
Table 13. Leaf, stem, root and total plant dry weight (g) of Jatropha curcas in the 48 days after treatment of pre-emergence herbicides.1
Herbicide Rate
(kg ai ha-1)4 Leaf Stem Root Total plant Control - 16.9(0)b2 15.8(0)b 6.2(0)a 38.9(0)bcd Alachlor 2.50 10.9(36)c 16.8(-6)b 3.6(41)bcd 31.3(20)de 1.25 16.9(0)b 24.1(-52)a 6.2(0)a 47.2(-21)ab Atrazine 1.60 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f
0.80 7.1(58)d 21.3(-35)ab 3.3(47)cd 31.7(18)de Butachlor 1.50 15.2(10)b 20.3(-28)ab 6.6(-7)a 42.1(-8)bc 0.75 21.5(-27)a 24.6(-55)a 7.2(-16)a 53.2(-37)a Diuron 2.00 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f
1.00 6.1(64)d 16.9(-7)b 2.5(59)d 25.5(34)e Metribuzin 1.50 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f 0.75 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f Pendimethalin 1.25 14.7(13)b 15.6(1)b 4.8(22)b 35.1(10)cde
0.63 14.2(16)b 15.2(4)b 4.2(33)bc 33.6(14)cde
F-vaule 59.78**3 21.47** 37.19** 36.69**
1)The inhibitions in percentage relative to untreated control are highlighted in parentheses.
2)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
3)** Significant at 1%.
4)a.i., active ingredient.
߄ 14ǵࡕନᏊࡼҔࡕ࿂ᅭᐋਲ਼ଯϐᡂϯǶ
Table 14. Changes in plant height (cm) of Jatropha curcas after application of post-emergence herbicides.
Herbicide Rate (kg ai ha-1)4
Day after treatment (DAT)
8 16 24 48
Control -- 46.0a1 52.0a 57.7a 71.8a 2,4-D 2.00 31.8ef 28.8e –3 –
1.00 36.9cd 36.8c 29.5d 27.0e Bentazon 1.50 33.0def 34.6cd 40.4c 58.5bc
0.75 35.0de 36.1c 44.3c 57.5c Fluazifop-butyl 0.25 41.6b 46.0b 50.0b 63.5b 0.13 46.2a 50.2a 56.3a 70.8a
Glufosinate 1.00 30.5f – – –
0.50 40.8bc – – –
Glyphosate 2.50 32.2ef 31.5de 28.8d 26.0e 1.25 33.1def 33.5cd 32.5d 32.5d
Triclopyr 1.00 40.2bc – – –
0.50 43.1ab – – –
F-vaule 16.25**2 353.89** 254.92** 275.31**
1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
2)** Significant at 1%.
3)– represented the death of plants.
4)a.i., active ingredient.
߄ 15ǵࡕନᏊࡼҔࡕ࿂ᅭᐋಳ৩ϐᡂϯǶ
Table 15. Changes in stem diameter (cm) of Jatropha curcas after application of post-emergence herbicides.
Herbicide Rate (kg ai ha-1)4
Day after treatment (DAT)
8 16 24 48
Control -- 1.34a1 1.47a 1.56a 1.78a 2,4-D 2.00 1.08cdef 0.98e –3 –
1.00 0.98f 1.13bcd 1.07cd 1.40b Bentazon 1.50 0.99f 1.02de 1.17c 1.46b 0.75 1.09cdef 1.16bc 1.32b 1.63a Fluazifop-butyl 0.25 1.14bcd 1.25b 1.42b 1.69a 0.13 1.35a 1.39a 1.57a 1.80a Glufosinate 1.00 1.13bcde – – –
0.50 1.19bc – – –
Glyphosate 2.50 1.01def 1.01e 0.96e 0.95c
1.25 1.10bcdef 1.05cde 1.06de 1.06c
Triclopyr 1.00 1.00ef – – –
0.50 1.22b – – –
F-vaule 9.99**2 218.62** 357.24** 198.71**
1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)
2)** Significant at 1%.
3)– represented the death of plants.
4)a.i., active ingredient.
߄ 16ǵࡕନᏊࡼҔࡕ࿂ᅭᐋϩ݄ኧϐᡂϯǶ
Table 16. Changes in branch number of Jatropha curcas after treatment of post-emergence herbicides.1
Table 16. Changes in branch number of Jatropha curcas after treatment of post-emergence herbicides.1